This clinical trial tests the effect of a physical activity intervention that emphasizes support between partners in women who are not physically active. Decisions about and participation in physical activity often involve others in one's social circle, including family and friends. Social support for physical activity and having someone with whom to engage in physical activity may promote behavioral change and help increase moderate-intensity physical activity in inactive women.
PRIMARY OBJECTIVE: I. Determine whether the dyadic behavioral intervention produces greater engagement of moderate-intensity objective physical activity (PA) compared with the individual behavioral intervention. SECONDARY OBJECTIVES: I. Determine the effects of the dyadic behavioral intervention on hypothesized intervention mechanisms (e.g., autonomous motivation, social support, autonomy support, self-efficacy), and the associations of those mechanisms with PA outcomes. II. Determine the effects of the dyadic behavioral intervention on secondary outcomes (i.e., self-reported moderate-intensity PA, lower body strength, blood pressure, anthropometric measures, mean daily steps, sedentary time) compared with the individual behavioral intervention. III. Determine whether the dyadic behavioral intervention produces greater engagement of moderate-intensity PA compared with the individual control. OUTLINE: Participants are randomized to 1 of 2 groups. GROUP 1 (DYADIC INTERVENTION): Participants receive phone calls over 30-45 minutes each from a health coach weekly during month 1, twice monthly during months 2-4, and monthly during months 5-6 for a total of 12 phone calls that focus on identifying needs, practicing autonomy supportive behaviors, and the development of a mutual support plan. Participants also engage in at least one physical activity per week with their partner and monitor their own and each other's activity using a FitBit. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. Participants also receive an electronic newsletter twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity. GROUP 2 (INDIVIDUAL CONDITION): Participants are assigned to one of 2 groups. GROUP 2A (INDIVIDUAL INTERVENTION): Participants receive phone calls from a health coach as in Intervention I that focus on providing support for behavioral skills, including monitoring physical activity, goal-setting, and problem-solving to overcome barriers to physical activity. Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 that provides educational physical activity-related information and tips for overcoming barriers to physical activity. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. GROUP 2B (HEALTH EDUCATION CONTROL): Participants utilize a FitBit to monitor their physical activity and receive electronic newsletters twice monthly during months 1-3 and monthly during months 4-6 to share basic health education related to physical activity and provide support for engagement. Participants also wear an accelerometer for a minimum of 10 hours a day for 7 days. At completion of study, patients are followed up at 6 and 12 months.
Study Type
INTERVENTIONAL
Allocation
RANDOMIZED
Purpose
PREVENTION
Masking
NONE
Enrollment
500
Monitor physical activity with FitBit
Wear accelerometer
Receive educational newsletter
Ancillary studies
Receive phone call from health coach
M D Anderson Cancer Center
Houston, Texas, United States
RECRUITINGChange in objective minutes per week of moderate-intensity physical activity
Will use a linear mixed model (LMM) analysis, which includes the intervention as a fixed effect predictor and a dyad-specific random intercept to account for the dependent nature of the nested design (in the dyadic intervention group) to assess if the dyadic intervention led to increased moderate-intensity physical activity, relative to the individual intervention. will also assess changes in physical activity across time (i.e., at 6 and 12 months after baseline) using longitudinal data, where both within-dyad and within-subject (repeated measures across time points) correlations will be accounted for. Relevant covariates (e.g., age, race/ethnicity, dyad relationship, education, household income and composition, employment status, neighborhood environmental characteristics) will be adjusted for in the analysis. Potential effect modifiers, e.g., depressive symptoms, perceived stress, neighborhood environmental characteristics, will be explored.
Time frame: Through study completion, an average of 1 year
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